Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 28, Pages: 1-10
Chirag Indravadanbhai Patel 1* , Dipti Shah2 and Atul Patel 1
1 Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, CHARUSAT, Changa - 388421, Gujarat, India; [email protected], [email protected]
2 G. H. Patel Post Graduate Department of Science and Technology, Sardar Patel University, V. V. Nagar - 388120, Gujarat, India; [email protected]
Background/Objectives:In this paper a novel number plate segmentation algorithm is proposed, which can be further exploited to do character segmentation and character recognition. Methods/Statistical Analysis: The scope of this research is to segment vehicle number plate from the captured vehicle image. To accomplish this task image binarization is used as it translates any color image into black and white image. The image binarization process is carried based on the statistical formula mentioned in this paper. The binarized image is further processed to remove unwanted area and exactly segment vehicle number plate. Findings: The algorithm provides overall accuracy of ~97.67% with the average processing time of 134ms for 250 images captured during timings in day and night. The system works well in different illumination conditions. Conclusion/Improvements: The overall accuracy can be further improved by modifying the parameters of image binarization process. Keywords: Column Trimming, Image Binarization, Image Segmentation, Number Plate, Row Trimming
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